From Data Collectors to Data Producers: Shifting Students’ Relationship to Data

November 12th, 2019 | RESEARCH

This paper contributes a theoretical framework informed by historical, philosophical and ethnographic studies of science practice to argue that data should be considered to be actively produced, rather than passively collected. We further argue that traditional school science laboratory investigations misconstrue the nature of data and overly constrain student agency in their production. We use our “Data Production” framework to analyze activity of and interviews with high school students who created data using sensors and software in a ninth-grade integrated science class. To understand the opportunities for students to develop act with and perceive agency in data production, we analyze in detail the case of one student as she came to use unfamiliar technologies to produce data for her own personally relevant purposes. We find that her purposes for producing data emerged as she worked, and that resistances to her purposes were opportunities to act with and perceive her own agency, and to see data in new ways. We discuss implications for designing science learning experiences in which students act as agents in producing and using data.

Document

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Team Members

Lisa Hardy, Author, The Concord Consortium
Colin Dixon, Author, The Concord Consortium
Sherry Hsi, Author, The Concord Consortium

Citation

Identifier Type: doi
Identifier: 10.1080/10508406.2019.1678164
Identifier Type: issn
Identifier: 1532-7809

Publication: Journal of the Learning Sciences
Volume: 29
Number: 1
Page(s): 104-126

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Tags

Access and Inclusion: English Language Learners | Low Socioeconomic Status | Urban
Audience: Educators | Teachers | Learning Researchers | Youth | Teen (up to 17)
Discipline: Computing and information science | Life science | Nature of science
Resource Type: Peer-reviewed article | Research Products
Environment Type: Informal | Formal Connections | K-12 Programs | Laboratory Programs | Public Programs

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This material is supported by National Science Foundation award DRL-2229061, with previous support under DRL-1612739, DRL-1842633, DRL-1212803, and DRL-0638981. Any opinions, findings, conclusions, or recommendations contained within InformalScience.org are those of the authors and do not necessarily reflect the views of NSF.

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